Dataset statistics
| Number of variables | 37 |
|---|---|
| Number of observations | 9240 |
| Missing cells | 41039 |
| Missing cells (%) | 12.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.6 MiB |
| Average record size in memory | 296.0 B |
Variable types
| Categorical | 17 |
|---|---|
| Numeric | 6 |
| Boolean | 14 |
Magazine has constant value "False" | Constant |
Receive More Updates About Our Courses has constant value "False" | Constant |
Update me on Supply Chain Content has constant value "False" | Constant |
Get updates on DM Content has constant value "False" | Constant |
I agree to pay the amount through cheque has constant value "False" | Constant |
Prospect ID has a high cardinality: 9240 distinct values | High cardinality |
TotalVisits is highly correlated with Total Time Spent on Website and 1 other fields | High correlation |
Total Time Spent on Website is highly correlated with TotalVisits and 1 other fields | High correlation |
Page Views Per Visit is highly correlated with TotalVisits and 1 other fields | High correlation |
TotalVisits is highly correlated with Page Views Per Visit | High correlation |
Page Views Per Visit is highly correlated with TotalVisits | High correlation |
TotalVisits is highly correlated with Page Views Per Visit | High correlation |
Page Views Per Visit is highly correlated with TotalVisits | High correlation |
Through Recommendations is highly correlated with Magazine and 4 other fields | High correlation |
Magazine is highly correlated with Through Recommendations and 28 other fields | High correlation |
Tags is highly correlated with Magazine and 7 other fields | High correlation |
Lead Profile is highly correlated with Magazine and 5 other fields | High correlation |
Do Not Call is highly correlated with Magazine and 4 other fields | High correlation |
City is highly correlated with Magazine and 5 other fields | High correlation |
Converted is highly correlated with Magazine and 6 other fields | High correlation |
Lead Origin is highly correlated with Magazine and 6 other fields | High correlation |
Lead Quality is highly correlated with Magazine and 7 other fields | High correlation |
Newspaper Article is highly correlated with Magazine and 4 other fields | High correlation |
Digital Advertisement is highly correlated with Magazine and 4 other fields | High correlation |
Last Notable Activity is highly correlated with Magazine and 5 other fields | High correlation |
What matters most to you in choosing a course is highly correlated with Magazine and 5 other fields | High correlation |
Country is highly correlated with Magazine and 4 other fields | High correlation |
How did you hear about X Education is highly correlated with Magazine and 4 other fields | High correlation |
Lead Source is highly correlated with Magazine and 6 other fields | High correlation |
I agree to pay the amount through cheque is highly correlated with Through Recommendations and 28 other fields | High correlation |
What is your current occupation is highly correlated with Magazine and 5 other fields | High correlation |
Get updates on DM Content is highly correlated with Through Recommendations and 28 other fields | High correlation |
Do Not Email is highly correlated with Magazine and 5 other fields | High correlation |
Asymmetrique Activity Index is highly correlated with Magazine and 6 other fields | High correlation |
X Education Forums is highly correlated with Magazine and 11 other fields | High correlation |
Last Activity is highly correlated with Magazine and 6 other fields | High correlation |
Update me on Supply Chain Content is highly correlated with Through Recommendations and 28 other fields | High correlation |
Asymmetrique Profile Index is highly correlated with Magazine and 6 other fields | High correlation |
Specialization is highly correlated with Magazine and 4 other fields | High correlation |
Receive More Updates About Our Courses is highly correlated with Through Recommendations and 28 other fields | High correlation |
A free copy of Mastering The Interview is highly correlated with Magazine and 7 other fields | High correlation |
Newspaper is highly correlated with Magazine and 6 other fields | High correlation |
Search is highly correlated with Magazine and 4 other fields | High correlation |
Lead Origin is highly correlated with Lead Source and 4 other fields | High correlation |
Lead Source is highly correlated with Lead Origin and 5 other fields | High correlation |
Do Not Email is highly correlated with Last Activity and 1 other fields | High correlation |
Do Not Call is highly correlated with X Education Forums and 1 other fields | High correlation |
Converted is highly correlated with Total Time Spent on Website and 4 other fields | High correlation |
Total Time Spent on Website is highly correlated with Converted | High correlation |
Last Activity is highly correlated with Do Not Email and 2 other fields | High correlation |
Specialization is highly correlated with Lead Origin and 4 other fields | High correlation |
Newspaper Article is highly correlated with X Education Forums and 1 other fields | High correlation |
X Education Forums is highly correlated with Do Not Call and 2 other fields | High correlation |
Newspaper is highly correlated with Do Not Call and 2 other fields | High correlation |
Tags is highly correlated with Converted and 4 other fields | High correlation |
Lead Quality is highly correlated with Converted and 2 other fields | High correlation |
Lead Profile is highly correlated with Converted and 3 other fields | High correlation |
City is highly correlated with Lead Origin and 4 other fields | High correlation |
Asymmetrique Activity Index is highly correlated with Lead Source and 2 other fields | High correlation |
Asymmetrique Profile Index is highly correlated with Lead Origin and 4 other fields | High correlation |
Asymmetrique Activity Score is highly correlated with Converted and 3 other fields | High correlation |
Asymmetrique Profile Score is highly correlated with Lead Origin and 5 other fields | High correlation |
A free copy of Mastering The Interview is highly correlated with Lead Source and 1 other fields | High correlation |
Last Notable Activity is highly correlated with Do Not Email and 1 other fields | High correlation |
TotalVisits has 137 (1.5%) missing values | Missing |
Page Views Per Visit has 137 (1.5%) missing values | Missing |
Last Activity has 103 (1.1%) missing values | Missing |
Country has 2461 (26.6%) missing values | Missing |
Specialization has 1438 (15.6%) missing values | Missing |
How did you hear about X Education has 2207 (23.9%) missing values | Missing |
What is your current occupation has 2690 (29.1%) missing values | Missing |
What matters most to you in choosing a course has 2709 (29.3%) missing values | Missing |
Tags has 3353 (36.3%) missing values | Missing |
Lead Quality has 4767 (51.6%) missing values | Missing |
Lead Profile has 2709 (29.3%) missing values | Missing |
City has 1420 (15.4%) missing values | Missing |
Asymmetrique Activity Index has 4218 (45.6%) missing values | Missing |
Asymmetrique Profile Index has 4218 (45.6%) missing values | Missing |
Asymmetrique Activity Score has 4218 (45.6%) missing values | Missing |
Asymmetrique Profile Score has 4218 (45.6%) missing values | Missing |
Prospect ID is uniformly distributed | Uniform |
Prospect ID has unique values | Unique |
Lead Number has unique values | Unique |
TotalVisits has 2189 (23.7%) zeros | Zeros |
Total Time Spent on Website has 2193 (23.7%) zeros | Zeros |
Page Views Per Visit has 2189 (23.7%) zeros | Zeros |
Reproduction
| Analysis started | 2021-10-28 13:45:17.295956 |
|---|---|
| Analysis finished | 2021-10-28 13:45:59.909111 |
| Duration | 42.61 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 9240 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 72.3 KiB |
| d5312a24-2330-4d26-aa99-41816f77b03a | 1 |
|---|---|
| 8c2d6237-f8bf-4fd5-a98a-951bc13d0312 | 1 |
| 1e765aa6-2eb0-47bf-be58-0f9f8b3a312d | 1 |
| 4c571fb2-3603-4266-b644-d14bcc3951e8 | 1 |
| 88f96e3a-3885-450e-86e3-015ccb7ae528 | 1 |
| Other values (9235) |
Length
| Max length | 36 |
|---|---|
| Median length | 36 |
| Mean length | 36 |
| Min length | 36 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 9240 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 7927b2df-8bba-4d29-b9a2-b6e0beafe620 |
|---|---|
| 2nd row | 2a272436-5132-4136-86fa-dcc88c88f482 |
| 3rd row | 8cc8c611-a219-4f35-ad23-fdfd2656bd8a |
| 4th row | 0cc2df48-7cf4-4e39-9de9-19797f9b38cc |
| 5th row | 3256f628-e534-4826-9d63-4a8b88782852 |
Common Values
| Value | Count | Frequency (%) |
| d5312a24-2330-4d26-aa99-41816f77b03a | 1 | < 0.1% |
| 8c2d6237-f8bf-4fd5-a98a-951bc13d0312 | 1 | < 0.1% |
| 1e765aa6-2eb0-47bf-be58-0f9f8b3a312d | 1 | < 0.1% |
| 4c571fb2-3603-4266-b644-d14bcc3951e8 | 1 | < 0.1% |
| 88f96e3a-3885-450e-86e3-015ccb7ae528 | 1 | < 0.1% |
| c7140518-2ee5-446f-a6be-a2d5a09835f3 | 1 | < 0.1% |
| 0287aa77-3154-4565-9970-9e4fa7fc63ba | 1 | < 0.1% |
| 2f9dac66-52ae-4c93-a955-a37b6232c6ea | 1 | < 0.1% |
| f46bc81e-2d43-4252-9d1b-d55a896e8c14 | 1 | < 0.1% |
| e7160ec2-b004-446f-b7bd-346c684a4d31 | 1 | < 0.1% |
| Other values (9230) | 9230 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| d5312a24-2330-4d26-aa99-41816f77b03a | 1 | < 0.1% |
| 75371b3e-4821-457c-b140-e14c8c64b07a | 1 | < 0.1% |
| 39fd64c1-3df6-43e4-9ff0-7ab5f8011009 | 1 | < 0.1% |
| 077bc905-2dcb-4ecb-b481-e9adc787e0bd | 1 | < 0.1% |
| c0282dcb-b7c5-42f3-9a33-09c099f17812 | 1 | < 0.1% |
| dd7f46e0-fb8c-4eaf-81a1-fdcf41b49768 | 1 | < 0.1% |
| 45d86ce2-351b-40cb-8a77-ddf5b540b36c | 1 | < 0.1% |
| c59054f4-d4f6-4e10-b472-fbf3cacce01c | 1 | < 0.1% |
| 70ea83e1-de7d-4e52-931b-6127021fc4e4 | 1 | < 0.1% |
| dcff3ee2-1519-4a58-81d7-cf130b358e55 | 1 | < 0.1% |
| Other values (9230) | 9230 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 9240 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 617188.4356 |
| Minimum | 579533 |
|---|---|
| Maximum | 660737 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 72.3 KiB |
Quantile statistics
| Minimum | 579533 |
|---|---|
| 5-th percentile | 582869.9 |
| Q1 | 596484.5 |
| median | 615479 |
| Q3 | 637387.25 |
| 95-th percentile | 655404.05 |
| Maximum | 660737 |
| Range | 81204 |
| Interquartile range (IQR) | 40902.75 |
Descriptive statistics
| Standard deviation | 23405.9957 |
|---|---|
| Coefficient of variation (CV) | 0.03792358111 |
| Kurtosis | -1.206393328 |
| Mean | 617188.4356 |
| Median Absolute Deviation (MAD) | 20413.5 |
| Skewness | 0.1404510858 |
| Sum | 5702821145 |
| Variance | 547840634.6 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 655360 | 1 | < 0.1% |
| 604698 | 1 | < 0.1% |
| 621242 | 1 | < 0.1% |
| 619195 | 1 | < 0.1% |
| 600768 | 1 | < 0.1% |
| 631489 | 1 | < 0.1% |
| 654018 | 1 | < 0.1% |
| 635587 | 1 | < 0.1% |
| 639685 | 1 | < 0.1% |
| 609951 | 1 | < 0.1% |
| Other values (9230) | 9230 |
| Value | Count | Frequency (%) |
| 579533 | 1 | |
| 579538 | 1 | |
| 579545 | 1 | |
| 579546 | 1 | |
| 579564 | 1 | |
| 579615 | 1 | |
| 579622 | 1 | |
| 579642 | 1 | |
| 579697 | 1 | |
| 579701 | 1 |
| Value | Count | Frequency (%) |
| 660737 | 1 | |
| 660728 | 1 | |
| 660727 | 1 | |
| 660719 | 1 | |
| 660681 | 1 | |
| 660680 | 1 | |
| 660673 | 1 | |
| 660664 | 1 | |
| 660624 | 1 | |
| 660616 | 1 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 72.3 KiB |
| Landing Page Submission | |
|---|---|
| API | |
| Lead Add Form | |
| Lead Import | 55 |
| Quick Add Form | 1 |
Length
| Max length | 23 |
|---|---|
| Median length | 23 |
| Mean length | 14.40162338 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | API |
|---|---|
| 2nd row | API |
| 3rd row | Landing Page Submission |
| 4th row | Landing Page Submission |
| 5th row | Landing Page Submission |
Common Values
| Value | Count | Frequency (%) |
| Landing Page Submission | 4886 | |
| API | 3580 | |
| Lead Add Form | 718 | 7.8% |
| Lead Import | 55 | 0.6% |
| Quick Add Form | 1 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| landing | 4886 | |
| page | 4886 | |
| submission | 4886 | |
| api | 3580 | |
| lead | 773 | 3.8% |
| add | 719 | 3.5% |
| form | 719 | 3.5% |
| import | 55 | 0.3% |
| quick | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 36 |
| Missing (%) | 0.4% |
| Memory size | 72.3 KiB |
| Direct Traffic | |
|---|---|
| Olark Chat | |
| Organic Search | |
| Reference | |
| Other values (16) |
Length
| Max length | 17 |
|---|---|
| Median length | 10 |
| Mean length | 10.43209474 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 7 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | Olark Chat |
|---|---|
| 2nd row | Organic Search |
| 3rd row | Direct Traffic |
| 4th row | Direct Traffic |
| 5th row |
Common Values
| Value | Count | Frequency (%) |
| 2868 | ||
| Direct Traffic | 2543 | |
| Olark Chat | 1755 | |
| Organic Search | 1154 | |
| Reference | 534 | 5.8% |
| Welingak Website | 142 | 1.5% |
| Referral Sites | 125 | 1.4% |
| 55 | 0.6% | |
| bing | 6 | 0.1% |
| 5 | 0.1% | |
| Other values (11) | 17 | 0.2% |
| (Missing) | 36 | 0.4% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2873 | ||
| direct | 2543 | |
| traffic | 2543 | |
| chat | 1757 | |
| olark | 1755 | |
| organic | 1154 | |
| search | 1154 | |
| reference | 534 | 3.6% |
| welingak | 142 | 1.0% |
| website | 142 | 1.0% |
| Other values (19) | 333 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 734 |
| Value | Count | Frequency (%) |
| False | 8506 | |
| True | 734 | 7.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 2 |
| Value | Count | Frequency (%) |
| False | 9238 | |
| True | 2 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 72.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 5679 | |
| 1 | 3561 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 5679 | |
| 1 | 3561 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 41 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 137 |
| Missing (%) | 1.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.445237834 |
| Minimum | 0 |
|---|---|
| Maximum | 251 |
| Zeros | 2189 |
| Zeros (%) | 23.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 72.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 10 |
| Maximum | 251 |
| Range | 251 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 4.854852697 |
|---|---|
| Coefficient of variation (CV) | 1.409148782 |
| Kurtosis | 853.478706 |
| Mean | 3.445237834 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 19.91165734 |
| Sum | 31362 |
| Variance | 23.56959471 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 0 | 2189 | |
| 2 | 1680 | |
| 3 | 1306 | |
| 4 | 1120 | |
| 5 | 783 | 8.5% |
| 6 | 466 | 5.0% |
| 1 | 395 | 4.3% |
| 7 | 309 | 3.3% |
| 8 | 224 | 2.4% |
| 9 | 164 | 1.8% |
| Other values (31) | 467 | 5.1% |
| (Missing) | 137 | 1.5% |
| Value | Count | Frequency (%) |
| 0 | 2189 | |
| 1 | 395 | 4.3% |
| 2 | 1680 | |
| 3 | 1306 | |
| 4 | 1120 | |
| 5 | 783 | 8.5% |
| 6 | 466 | 5.0% |
| 7 | 309 | 3.3% |
| 8 | 224 | 2.4% |
| 9 | 164 | 1.8% |
| Value | Count | Frequency (%) |
| 251 | 1 | |
| 141 | 1 | |
| 115 | 1 | |
| 74 | 1 | |
| 55 | 1 | |
| 54 | 1 | |
| 43 | 1 | |
| 42 | 1 | |
| 41 | 1 | |
| 32 | 1 |
| Distinct | 1731 |
|---|---|
| Distinct (%) | 18.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 487.6982684 |
| Minimum | 0 |
|---|---|
| Maximum | 2272 |
| Zeros | 2193 |
| Zeros (%) | 23.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 72.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 12 |
| median | 248 |
| Q3 | 936 |
| 95-th percentile | 1562 |
| Maximum | 2272 |
| Range | 2272 |
| Interquartile range (IQR) | 924 |
Descriptive statistics
| Standard deviation | 548.0214663 |
|---|---|
| Coefficient of variation (CV) | 1.123689588 |
| Kurtosis | -0.4037697308 |
| Mean | 487.6982684 |
| Median Absolute Deviation (MAD) | 248 |
| Skewness | 0.956450193 |
| Sum | 4506332 |
| Variance | 300327.5275 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2193 | 23.7% |
| 60 | 19 | 0.2% |
| 127 | 18 | 0.2% |
| 75 | 18 | 0.2% |
| 74 | 18 | 0.2% |
| 87 | 17 | 0.2% |
| 32 | 17 | 0.2% |
| 234 | 17 | 0.2% |
| 157 | 17 | 0.2% |
| 62 | 17 | 0.2% |
| Other values (1721) | 6889 |
| Value | Count | Frequency (%) |
| 0 | 2193 | |
| 1 | 7 | 0.1% |
| 2 | 14 | 0.2% |
| 3 | 9 | 0.1% |
| 4 | 10 | 0.1% |
| 5 | 13 | 0.1% |
| 6 | 7 | 0.1% |
| 7 | 8 | 0.1% |
| 8 | 11 | 0.1% |
| 9 | 11 | 0.1% |
| Value | Count | Frequency (%) |
| 2272 | 1 | |
| 2253 | 1 | |
| 2226 | 1 | |
| 2217 | 1 | |
| 2207 | 1 | |
| 2170 | 1 | |
| 2140 | 1 | |
| 2137 | 1 | |
| 2125 | 1 | |
| 2117 | 1 |
| Distinct | 114 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 137 |
| Missing (%) | 1.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.362819949 |
| Minimum | 0 |
|---|---|
| Maximum | 55 |
| Zeros | 2189 |
| Zeros (%) | 23.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 72.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 6 |
| Maximum | 55 |
| Range | 55 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.161417755 |
|---|---|
| Coefficient of variation (CV) | 0.9147619373 |
| Kurtosis | 42.36234824 |
| Mean | 2.362819949 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.871792897 |
| Sum | 21508.75 |
| Variance | 4.67172671 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 2189 | |
| 2 | 1795 | |
| 3 | 1196 | |
| 4 | 896 | |
| 1 | 651 | 7.0% |
| 5 | 517 | 5.6% |
| 1.5 | 306 | 3.3% |
| 6 | 244 | 2.6% |
| 2.5 | 241 | 2.6% |
| 7 | 133 | 1.4% |
| Other values (104) | 935 | |
| (Missing) | 137 | 1.5% |
| Value | Count | Frequency (%) |
| 0 | 2189 | |
| 1 | 651 | 7.0% |
| 1.14 | 2 | < 0.1% |
| 1.17 | 1 | < 0.1% |
| 1.19 | 1 | < 0.1% |
| 1.2 | 5 | 0.1% |
| 1.21 | 1 | < 0.1% |
| 1.22 | 2 | < 0.1% |
| 1.23 | 2 | < 0.1% |
| 1.25 | 23 | 0.2% |
| Value | Count | Frequency (%) |
| 55 | 1 | < 0.1% |
| 24 | 1 | < 0.1% |
| 16 | 3 | < 0.1% |
| 15 | 4 | |
| 14.5 | 1 | < 0.1% |
| 14 | 9 | |
| 13 | 6 | |
| 12.33 | 1 | < 0.1% |
| 12 | 5 | |
| 11.5 | 1 | < 0.1% |
| Distinct | 17 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 103 |
| Missing (%) | 1.1% |
| Memory size | 72.3 KiB |
| Email Opened | |
|---|---|
| SMS Sent | |
| Olark Chat Conversation | |
| Page Visited on Website | |
| Converted to Lead | |
| Other values (12) |
Length
| Max length | 28 |
|---|---|
| Median length | 12 |
| Mean length | 13.40024078 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Page Visited on Website |
|---|---|
| 2nd row | Email Opened |
| 3rd row | Email Opened |
| 4th row | Unreachable |
| 5th row | Converted to Lead |
Common Values
| Value | Count | Frequency (%) |
| Email Opened | 3437 | |
| SMS Sent | 2745 | |
| Olark Chat Conversation | 973 | 10.5% |
| Page Visited on Website | 640 | 6.9% |
| Converted to Lead | 428 | 4.6% |
| Email Bounced | 326 | 3.5% |
| Email Link Clicked | 267 | 2.9% |
| Form Submitted on Website | 116 | 1.3% |
| Unreachable | 93 | 1.0% |
| Unsubscribed | 61 | 0.7% |
| Other values (7) | 51 | 0.6% |
| (Missing) | 103 | 1.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 4034 | ||
| opened | 3437 | |
| sms | 2745 | |
| sent | 2745 | |
| conversation | 1003 | 4.7% |
| olark | 973 | 4.6% |
| chat | 973 | 4.6% |
| on | 756 | 3.5% |
| website | 756 | 3.5% |
| visited | 641 | 3.0% |
| Other values (26) | 3320 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 38 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 2461 |
| Missing (%) | 26.6% |
| Memory size | 72.3 KiB |
| India | |
|---|---|
| United States | 69 |
| United Arab Emirates | 53 |
| Singapore | 24 |
| Saudi Arabia | 21 |
| Other values (33) | 120 |
Length
| Max length | 20 |
|---|---|
| Median length | 5 |
| Mean length | 5.291930963 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 10 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | India |
|---|---|
| 2nd row | India |
| 3rd row | India |
| 4th row | India |
| 5th row | India |
Common Values
| Value | Count | Frequency (%) |
| India | 6492 | |
| United States | 69 | 0.7% |
| United Arab Emirates | 53 | 0.6% |
| Singapore | 24 | 0.3% |
| Saudi Arabia | 21 | 0.2% |
| United Kingdom | 15 | 0.2% |
| Australia | 13 | 0.1% |
| Qatar | 10 | 0.1% |
| Bahrain | 7 | 0.1% |
| Hong Kong | 7 | 0.1% |
| Other values (28) | 68 | 0.7% |
| (Missing) | 2461 | 26.6% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| india | 6492 | |
| united | 137 | 2.0% |
| states | 69 | 1.0% |
| arab | 53 | 0.8% |
| emirates | 53 | 0.8% |
| singapore | 24 | 0.3% |
| saudi | 21 | 0.3% |
| arabia | 21 | 0.3% |
| kingdom | 15 | 0.2% |
| australia | 13 | 0.2% |
| Other values (35) | 106 | 1.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 19 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 1438 |
| Missing (%) | 15.6% |
| Memory size | 72.3 KiB |
| Select | |
|---|---|
| Finance Management | |
| Human Resource Management | |
| Marketing Management | |
| Operations Management | |
| Other values (14) |
Length
| Max length | 33 |
|---|---|
| Median length | 20 |
| Mean length | 17.64688541 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Select |
|---|---|
| 2nd row | Select |
| 3rd row | Business Administration |
| 4th row | Media and Advertising |
| 5th row | Select |
Common Values
| Value | Count | Frequency (%) |
| Select | 1942 | |
| Finance Management | 976 | |
| Human Resource Management | 848 | |
| Marketing Management | 838 | |
| Operations Management | 503 | 5.4% |
| Business Administration | 403 | 4.4% |
| IT Projects Management | 366 | 4.0% |
| Supply Chain Management | 349 | 3.8% |
| Banking, Investment And Insurance | 338 | 3.7% |
| Media and Advertising | 203 | 2.2% |
| Other values (9) | 1036 | |
| (Missing) | 1438 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| management | 4253 | |
| select | 1942 | |
| finance | 976 | 6.0% |
| human | 848 | 5.2% |
| resource | 848 | 5.2% |
| marketing | 838 | 5.2% |
| and | 817 | 5.0% |
| business | 581 | 3.6% |
| operations | 503 | 3.1% |
| administration | 403 | 2.5% |
| Other values (21) | 4202 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 2207 |
| Missing (%) | 23.9% |
| Memory size | 72.3 KiB |
| Select | |
|---|---|
| Online Search | |
| Word Of Mouth | 348 |
| Student of SomeSchool | 310 |
| Other | 186 |
| Other values (5) | 338 |
Length
| Max length | 21 |
|---|---|
| Median length | 6 |
| Mean length | 8.124697853 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Select |
|---|---|
| 2nd row | Select |
| 3rd row | Select |
| 4th row | Word Of Mouth |
| 5th row | Other |
Common Values
| Value | Count | Frequency (%) |
| Select | 5043 | |
| Online Search | 808 | 8.7% |
| Word Of Mouth | 348 | 3.8% |
| Student of SomeSchool | 310 | 3.4% |
| Other | 186 | 2.0% |
| Multiple Sources | 152 | 1.6% |
| Advertisements | 70 | 0.8% |
| Social Media | 67 | 0.7% |
| 26 | 0.3% | |
| SMS | 23 | 0.2% |
| (Missing) | 2207 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| select | 5043 | |
| online | 808 | 8.6% |
| search | 808 | 8.6% |
| of | 658 | 7.0% |
| word | 348 | 3.7% |
| mouth | 348 | 3.7% |
| student | 310 | 3.3% |
| someschool | 310 | 3.3% |
| other | 186 | 2.0% |
| multiple | 152 | 1.6% |
| Other values (6) | 405 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 2690 |
| Missing (%) | 29.1% |
| Memory size | 72.3 KiB |
| Unemployed | |
|---|---|
| Working Professional | |
| Student | 210 |
| Other | 16 |
| Housewife | 10 |
Length
| Max length | 20 |
|---|---|
| Median length | 10 |
| Mean length | 10.96916031 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Unemployed |
|---|---|
| 2nd row | Unemployed |
| 3rd row | Student |
| 4th row | Unemployed |
| 5th row | Unemployed |
Common Values
| Value | Count | Frequency (%) |
| Unemployed | 5600 | |
| Working Professional | 706 | 7.6% |
| Student | 210 | 2.3% |
| Other | 16 | 0.2% |
| Housewife | 10 | 0.1% |
| Businessman | 8 | 0.1% |
| (Missing) | 2690 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| unemployed | 5600 | |
| working | 706 | 9.7% |
| professional | 706 | 9.7% |
| student | 210 | 2.9% |
| other | 16 | 0.2% |
| housewife | 10 | 0.1% |
| businessman | 8 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 2709 |
| Missing (%) | 29.3% |
| Memory size | 72.3 KiB |
| Better Career Prospects | |
|---|---|
| Flexibility & Convenience | 2 |
| Other | 1 |
Length
| Max length | 25 |
|---|---|
| Median length | 23 |
| Mean length | 22.99785638 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Better Career Prospects |
|---|---|
| 2nd row | Better Career Prospects |
| 3rd row | Better Career Prospects |
| 4th row | Better Career Prospects |
| 5th row | Better Career Prospects |
Common Values
| Value | Count | Frequency (%) |
| Better Career Prospects | 6528 | |
| Flexibility & Convenience | 2 | < 0.1% |
| Other | 1 | < 0.1% |
| (Missing) | 2709 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| better | 6528 | |
| career | 6528 | |
| prospects | 6528 | |
| flexibility | 2 | < 0.1% |
| 2 | < 0.1% | |
| convenience | 2 | < 0.1% |
| other | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 14 |
| Value | Count | Frequency (%) |
| False | 9226 | |
| True | 14 | 0.2% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 9240 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 2 |
| Value | Count | Frequency (%) |
| False | 9238 | |
| True | 2 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 1 |
| Value | Count | Frequency (%) |
| False | 9239 | |
| True | 1 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 1 |
| Value | Count | Frequency (%) |
| False | 9239 | |
| True | 1 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 4 |
| Value | Count | Frequency (%) |
| False | 9236 | |
| True | 4 | < 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True | 7 |
| Value | Count | Frequency (%) |
| False | 9233 | |
| True | 7 | 0.1% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 9240 |
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 3353 |
| Missing (%) | 36.3% |
| Memory size | 72.3 KiB |
| Will revert after reading the email | |
|---|---|
| Ringing | |
| Interested in other courses | |
| Already a student | |
| Closed by Horizzon | |
| Other values (21) |
Length
| Max length | 49 |
|---|---|
| Median length | 22 |
| Mean length | 22.14540513 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Interested in other courses |
|---|---|
| 2nd row | Ringing |
| 3rd row | Will revert after reading the email |
| 4th row | Ringing |
| 5th row | Will revert after reading the email |
Common Values
| Value | Count | Frequency (%) |
| Will revert after reading the email | 2072 | |
| Ringing | 1203 | 13.0% |
| Interested in other courses | 513 | 5.6% |
| Already a student | 465 | 5.0% |
| Closed by Horizzon | 358 | 3.9% |
| switched off | 240 | 2.6% |
| Busy | 186 | 2.0% |
| Lost to EINS | 175 | 1.9% |
| Not doing further education | 145 | 1.6% |
| Interested in full time MBA | 117 | 1.3% |
| Other values (16) | 413 | 4.5% |
| (Missing) | 3353 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| the | 2074 | 9.5% |
| will | 2072 | 9.5% |
| 2072 | 9.5% | |
| revert | 2072 | 9.5% |
| reading | 2072 | 9.5% |
| after | 2072 | 9.5% |
| ringing | 1203 | 5.5% |
| in | 765 | 3.5% |
| interested | 635 | 2.9% |
| courses | 513 | 2.4% |
| Other values (61) | 6215 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 4767 |
| Missing (%) | 51.6% |
| Memory size | 72.3 KiB |
| Might be | |
|---|---|
| Not Sure | |
| High in Relevance | |
| Worst | |
| Low in Relevance |
Length
| Max length | 17 |
|---|---|
| Median length | 8 |
| Mean length | 9.921305611 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Low in Relevance |
|---|---|
| 2nd row | Might be |
| 3rd row | Not Sure |
| 4th row | Might be |
| 5th row | Low in Relevance |
Common Values
| Value | Count | Frequency (%) |
| Might be | 1560 | 16.9% |
| Not Sure | 1092 | 11.8% |
| High in Relevance | 637 | 6.9% |
| Worst | 601 | 6.5% |
| Low in Relevance | 583 | 6.3% |
| (Missing) | 4767 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| might | 1560 | |
| be | 1560 | |
| in | 1220 | |
| relevance | 1220 | |
| not | 1092 | |
| sure | 1092 | |
| high | 637 | |
| worst | 601 | 6.3% |
| low | 583 | 6.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 9240 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 9240 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 2709 |
| Missing (%) | 29.3% |
| Memory size | 72.3 KiB |
| Select | |
|---|---|
| Potential Lead | |
| Other Leads | |
| Student of SomeSchool | 241 |
| Lateral Student | 24 |
Length
| Max length | 27 |
|---|---|
| Median length | 6 |
| Mean length | 8.999540652 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Select |
|---|---|
| 2nd row | Select |
| 3rd row | Potential Lead |
| 4th row | Select |
| 5th row | Select |
Common Values
| Value | Count | Frequency (%) |
| Select | 4146 | |
| Potential Lead | 1613 | 17.5% |
| Other Leads | 487 | 5.3% |
| Student of SomeSchool | 241 | 2.6% |
| Lateral Student | 24 | 0.3% |
| Dual Specialization Student | 20 | 0.2% |
| (Missing) | 2709 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| select | 4146 | |
| potential | 1613 | 17.6% |
| lead | 1613 | 17.6% |
| other | 487 | 5.3% |
| leads | 487 | 5.3% |
| student | 285 | 3.1% |
| of | 241 | 2.6% |
| someschool | 241 | 2.6% |
| lateral | 24 | 0.3% |
| dual | 20 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 1420 |
| Missing (%) | 15.4% |
| Memory size | 72.3 KiB |
| Mumbai | |
|---|---|
| Select | |
| Thane & Outskirts | |
| Other Cities | |
| Other Cities of Maharashtra | |
| Other values (2) |
Length
| Max length | 27 |
|---|---|
| Median length | 6 |
| Mean length | 9.470204604 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Select |
|---|---|
| 2nd row | Select |
| 3rd row | Mumbai |
| 4th row | Mumbai |
| 5th row | Mumbai |
Common Values
| Value | Count | Frequency (%) |
| Mumbai | 3222 | |
| Select | 2249 | |
| Thane & Outskirts | 752 | 8.1% |
| Other Cities | 686 | 7.4% |
| Other Cities of Maharashtra | 457 | 4.9% |
| Other Metro Cities | 380 | 4.1% |
| Tier II Cities | 74 | 0.8% |
| (Missing) | 1420 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| mumbai | 3222 | |
| select | 2249 | |
| cities | 1597 | |
| other | 1523 | |
| thane | 752 | 6.1% |
| 752 | 6.1% | |
| outskirts | 752 | 6.1% |
| of | 457 | 3.7% |
| maharashtra | 457 | 3.7% |
| metro | 380 | 3.1% |
| Other values (2) | 148 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 4218 |
| Missing (%) | 45.6% |
| Memory size | 72.3 KiB |
| 02.Medium | |
|---|---|
| 01.High | |
| 03.Low | 362 |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 8.456790123 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 02.Medium |
|---|---|
| 2nd row | 02.Medium |
| 3rd row | 02.Medium |
| 4th row | 02.Medium |
| 5th row | 02.Medium |
Common Values
| Value | Count | Frequency (%) |
| 02.Medium | 3839 | |
| 01.High | 821 | 8.9% |
| 03.Low | 362 | 3.9% |
| (Missing) | 4218 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 02.medium | 3839 | |
| 01.high | 821 | 16.3% |
| 03.low | 362 | 7.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 4218 |
| Missing (%) | 45.6% |
| Memory size | 72.3 KiB |
| 02.Medium | |
|---|---|
| 01.High | |
| 03.Low | 31 |
Length
| Max length | 9 |
|---|---|
| Median length | 9 |
| Mean length | 8.104141776 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 02.Medium |
|---|---|
| 2nd row | 02.Medium |
| 3rd row | 01.High |
| 4th row | 01.High |
| 5th row | 01.High |
Common Values
| Value | Count | Frequency (%) |
| 02.Medium | 2788 | |
| 01.High | 2203 | |
| 03.Low | 31 | 0.3% |
| (Missing) | 4218 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 02.medium | 2788 | |
| 01.high | 2203 | |
| 03.low | 31 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 4218 |
| Missing (%) | 45.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.30625249 |
| Minimum | 7 |
|---|---|
| Maximum | 18 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 72.3 KiB |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 12 |
| Q1 | 14 |
| median | 14 |
| Q3 | 15 |
| 95-th percentile | 17 |
| Maximum | 18 |
| Range | 11 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.386694079 |
|---|---|
| Coefficient of variation (CV) | 0.09692923286 |
| Kurtosis | 1.233085585 |
| Mean | 14.30625249 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.3833796985 |
| Sum | 71846 |
| Variance | 1.922920468 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 14 | 1771 | |
| 15 | 1293 | 14.0% |
| 13 | 775 | 8.4% |
| 16 | 467 | 5.1% |
| 17 | 349 | 3.8% |
| 12 | 196 | 2.1% |
| 11 | 95 | 1.0% |
| 10 | 57 | 0.6% |
| 9 | 9 | 0.1% |
| 18 | 5 | 0.1% |
| Other values (2) | 5 | 0.1% |
| (Missing) | 4218 |
| Value | Count | Frequency (%) |
| 7 | 1 | < 0.1% |
| 8 | 4 | < 0.1% |
| 9 | 9 | 0.1% |
| 10 | 57 | 0.6% |
| 11 | 95 | 1.0% |
| 12 | 196 | 2.1% |
| 13 | 775 | |
| 14 | 1771 | |
| 15 | 1293 | |
| 16 | 467 | 5.1% |
| Value | Count | Frequency (%) |
| 18 | 5 | 0.1% |
| 17 | 349 | 3.8% |
| 16 | 467 | 5.1% |
| 15 | 1293 | |
| 14 | 1771 | |
| 13 | 775 | |
| 12 | 196 | 2.1% |
| 11 | 95 | 1.0% |
| 10 | 57 | 0.6% |
| 9 | 9 | 0.1% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 4218 |
| Missing (%) | 45.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.34488252 |
| Minimum | 11 |
|---|---|
| Maximum | 20 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 72.3 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 14 |
| Q1 | 15 |
| median | 16 |
| Q3 | 18 |
| 95-th percentile | 20 |
| Maximum | 20 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.811395003 |
|---|---|
| Coefficient of variation (CV) | 0.1108233725 |
| Kurtosis | -0.6197314458 |
| Mean | 16.34488252 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.2217387181 |
| Sum | 82084 |
| Variance | 3.281151858 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 15 | 1759 | |
| 18 | 1071 | 11.6% |
| 16 | 599 | 6.5% |
| 17 | 579 | 6.3% |
| 20 | 308 | 3.3% |
| 19 | 245 | 2.7% |
| 14 | 226 | 2.4% |
| 13 | 204 | 2.2% |
| 12 | 22 | 0.2% |
| 11 | 9 | 0.1% |
| (Missing) | 4218 |
| Value | Count | Frequency (%) |
| 11 | 9 | 0.1% |
| 12 | 22 | 0.2% |
| 13 | 204 | 2.2% |
| 14 | 226 | 2.4% |
| 15 | 1759 | |
| 16 | 599 | 6.5% |
| 17 | 579 | 6.3% |
| 18 | 1071 | |
| 19 | 245 | 2.7% |
| 20 | 308 | 3.3% |
| Value | Count | Frequency (%) |
| 20 | 308 | 3.3% |
| 19 | 245 | 2.7% |
| 18 | 1071 | |
| 17 | 579 | 6.3% |
| 16 | 599 | 6.5% |
| 15 | 1759 | |
| 14 | 226 | 2.4% |
| 13 | 204 | 2.2% |
| 12 | 22 | 0.2% |
| 11 | 9 | 0.1% |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False |
|---|
| Value | Count | Frequency (%) |
| False | 9240 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 9.1 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 6352 | |
| True | 2888 |
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 72.3 KiB |
| Modified | |
|---|---|
| Email Opened | |
| SMS Sent | |
| Page Visited on Website | 318 |
| Olark Chat Conversation | 183 |
| Other values (11) | 333 |
Length
| Max length | 28 |
|---|---|
| Median length | 8 |
| Mean length | 10.32099567 |
| Min length | 8 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 5 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | Modified |
|---|---|
| 2nd row | Email Opened |
| 3rd row | Email Opened |
| 4th row | Modified |
| 5th row | Modified |
Common Values
| Value | Count | Frequency (%) |
| Modified | 3407 | |
| Email Opened | 2827 | |
| SMS Sent | 2172 | |
| Page Visited on Website | 318 | 3.4% |
| Olark Chat Conversation | 183 | 2.0% |
| Email Link Clicked | 173 | 1.9% |
| Email Bounced | 60 | 0.6% |
| Unsubscribed | 47 | 0.5% |
| Unreachable | 32 | 0.3% |
| Had a Phone Conversation | 14 | 0.2% |
| Other values (6) | 7 | 0.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| modified | 3407 | |
| 3063 | ||
| opened | 2827 | |
| sms | 2172 | |
| sent | 2172 | |
| on | 319 | 2.0% |
| website | 319 | 2.0% |
| page | 318 | 2.0% |
| visited | 318 | 2.0% |
| conversation | 197 | 1.2% |
| Other values (23) | 910 | 5.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Prospect ID | Lead Number | Lead Origin | Lead Source | Do Not Email | Do Not Call | Converted | TotalVisits | Total Time Spent on Website | Page Views Per Visit | Last Activity | Country | Specialization | How did you hear about X Education | What is your current occupation | What matters most to you in choosing a course | Search | Magazine | Newspaper Article | X Education Forums | Newspaper | Digital Advertisement | Through Recommendations | Receive More Updates About Our Courses | Tags | Lead Quality | Update me on Supply Chain Content | Get updates on DM Content | Lead Profile | City | Asymmetrique Activity Index | Asymmetrique Profile Index | Asymmetrique Activity Score | Asymmetrique Profile Score | I agree to pay the amount through cheque | A free copy of Mastering The Interview | Last Notable Activity | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7927b2df-8bba-4d29-b9a2-b6e0beafe620 | 660737 | API | Olark Chat | No | No | 0 | 0.0 | 0 | 0.0 | Page Visited on Website | NaN | Select | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Interested in other courses | Low in Relevance | No | No | Select | Select | 02.Medium | 02.Medium | 15.0 | 15.0 | No | No | Modified |
| 1 | 2a272436-5132-4136-86fa-dcc88c88f482 | 660728 | API | Organic Search | No | No | 0 | 5.0 | 674 | 2.5 | Email Opened | India | Select | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Ringing | NaN | No | No | Select | Select | 02.Medium | 02.Medium | 15.0 | 15.0 | No | No | Email Opened |
| 2 | 8cc8c611-a219-4f35-ad23-fdfd2656bd8a | 660727 | Landing Page Submission | Direct Traffic | No | No | 1 | 2.0 | 1532 | 2.0 | Email Opened | India | Business Administration | Select | Student | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | Might be | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 14.0 | 20.0 | No | Yes | Email Opened |
| 3 | 0cc2df48-7cf4-4e39-9de9-19797f9b38cc | 660719 | Landing Page Submission | Direct Traffic | No | No | 0 | 1.0 | 305 | 1.0 | Unreachable | India | Media and Advertising | Word Of Mouth | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Ringing | Not Sure | No | No | Select | Mumbai | 02.Medium | 01.High | 13.0 | 17.0 | No | No | Modified |
| 4 | 3256f628-e534-4826-9d63-4a8b88782852 | 660681 | Landing Page Submission | No | No | 1 | 2.0 | 1428 | 1.0 | Converted to Lead | India | Select | Other | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | Might be | No | No | Select | Mumbai | 02.Medium | 01.High | 15.0 | 18.0 | No | No | Modified | |
| 5 | 2058ef08-2858-443e-a01f-a9237db2f5ce | 660680 | API | Olark Chat | No | No | 0 | 0.0 | 0 | 0.0 | Olark Chat Conversation | NaN | NaN | NaN | NaN | NaN | No | No | No | No | No | No | No | No | NaN | NaN | No | No | NaN | NaN | 01.High | 02.Medium | 17.0 | 15.0 | No | No | Modified |
| 6 | 9fae7df4-169d-489b-afe4-0f3d752542ed | 660673 | Landing Page Submission | No | No | 1 | 2.0 | 1640 | 2.0 | Email Opened | India | Supply Chain Management | Online Search | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | Low in Relevance | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 14.0 | 20.0 | No | No | Modified | |
| 7 | 20ef72a2-fb3b-45e0-924e-551c5fa59095 | 660664 | API | Olark Chat | No | No | 0 | 0.0 | 0 | 0.0 | Olark Chat Conversation | NaN | NaN | NaN | NaN | NaN | No | No | No | No | No | No | No | No | NaN | NaN | No | No | NaN | NaN | 02.Medium | 02.Medium | 15.0 | 15.0 | No | No | Modified |
| 8 | cfa0128c-a0da-4656-9d47-0aa4e67bf690 | 660624 | Landing Page Submission | Direct Traffic | No | No | 0 | 2.0 | 71 | 2.0 | Email Opened | India | IT Projects Management | NaN | NaN | NaN | No | No | No | No | No | No | No | No | NaN | NaN | No | No | NaN | Thane & Outskirts | 02.Medium | 02.Medium | 14.0 | 14.0 | No | Yes | Email Opened |
| 9 | af465dfc-7204-4130-9e05-33231863c4b5 | 660616 | API | No | No | 0 | 4.0 | 58 | 4.0 | Email Opened | India | Finance Management | Word Of Mouth | NaN | NaN | No | No | No | No | No | No | No | No | NaN | NaN | No | No | NaN | Mumbai | 02.Medium | 02.Medium | 13.0 | 16.0 | No | No | Email Opened |
Last rows
| Prospect ID | Lead Number | Lead Origin | Lead Source | Do Not Email | Do Not Call | Converted | TotalVisits | Total Time Spent on Website | Page Views Per Visit | Last Activity | Country | Specialization | How did you hear about X Education | What is your current occupation | What matters most to you in choosing a course | Search | Magazine | Newspaper Article | X Education Forums | Newspaper | Digital Advertisement | Through Recommendations | Receive More Updates About Our Courses | Tags | Lead Quality | Update me on Supply Chain Content | Get updates on DM Content | Lead Profile | City | Asymmetrique Activity Index | Asymmetrique Profile Index | Asymmetrique Activity Score | Asymmetrique Profile Score | I agree to pay the amount through cheque | A free copy of Mastering The Interview | Last Notable Activity | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9230 | d11c15b7-8056-45a6-8954-771c0d0495fe | 579701 | Landing Page Submission | No | No | 0 | 2.0 | 870 | 2.00 | Email Opened | India | Human Resource Management | Online Search | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | NaN | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 13.0 | 20.0 | No | No | Email Opened | |
| 9231 | 4aeae36b-2b57-494f-bdab-dd58844286b4 | 579697 | Landing Page Submission | No | No | 1 | 8.0 | 1016 | 4.00 | Email Opened | India | Banking, Investment And Insurance | Online Search | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | High in Relevance | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 15.0 | 20.0 | No | No | Email Opened | |
| 9232 | 2d0109e9-dfb2-4664-83de-c2ea75ec7516 | 579642 | Landing Page Submission | Direct Traffic | No | No | 0 | 2.0 | 1770 | 2.00 | SMS Sent | India | Human Resource Management | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Ringing | Not Sure | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 14.0 | 20.0 | No | Yes | SMS Sent |
| 9233 | 3f715465-2546-47cd-afa8-8b8dc63b8b43 | 579622 | API | Direct Traffic | No | No | 1 | 13.0 | 1409 | 2.60 | SMS Sent | India | Select | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | NaN | No | No | Select | Select | NaN | NaN | NaN | NaN | No | No | SMS Sent |
| 9234 | c0b25922-511f-4c56-852e-ced210a45447 | 579615 | Landing Page Submission | Direct Traffic | No | No | 1 | 5.0 | 210 | 2.50 | SMS Sent | India | Business Administration | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | Might be | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 14.0 | 20.0 | No | No | Modified |
| 9235 | 19d6451e-fcd6-407c-b83b-48e1af805ea9 | 579564 | Landing Page Submission | Direct Traffic | Yes | No | 1 | 8.0 | 1845 | 2.67 | Email Marked Spam | Saudi Arabia | IT Projects Management | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | High in Relevance | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 15.0 | 17.0 | No | No | Email Marked Spam |
| 9236 | 82a7005b-7196-4d56-95ce-a79f937a158d | 579546 | Landing Page Submission | Direct Traffic | No | No | 0 | 2.0 | 238 | 2.00 | SMS Sent | India | Media and Advertising | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | wrong number given | Might be | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 14.0 | 19.0 | No | Yes | SMS Sent |
| 9237 | aac550fe-a586-452d-8d3c-f1b62c94e02c | 579545 | Landing Page Submission | Direct Traffic | Yes | No | 0 | 2.0 | 199 | 2.00 | SMS Sent | India | Business Administration | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | invalid number | Not Sure | No | No | Potential Lead | Mumbai | 02.Medium | 01.High | 13.0 | 20.0 | No | Yes | SMS Sent |
| 9238 | 5330a7d1-2f2b-4df4-85d6-64ca2f6b95b9 | 579538 | Landing Page Submission | No | No | 1 | 3.0 | 499 | 3.00 | SMS Sent | India | Human Resource Management | Online Search | NaN | NaN | No | No | No | No | No | No | No | No | NaN | NaN | No | No | NaN | Other Metro Cities | 02.Medium | 02.Medium | 15.0 | 16.0 | No | No | SMS Sent | |
| 9239 | 571b5c8e-a5b2-4d57-8574-f2ffb06fdeff | 579533 | Landing Page Submission | Direct Traffic | No | No | 1 | 6.0 | 1279 | 3.00 | SMS Sent | Bangladesh | Supply Chain Management | Select | Unemployed | Better Career Prospects | No | No | No | No | No | No | No | No | Will revert after reading the email | Might be | No | No | Potential Lead | Other Cities | 02.Medium | 01.High | 15.0 | 18.0 | No | Yes | Modified |